{"id":"https://openalex.org/W4411725367","doi":"https://doi.org/10.1109/iscas56072.2025.11043716","title":"Low-power Spike-based Wearable Analytics on RRAM Crossbars","display_name":"Low-power Spike-based Wearable Analytics on RRAM Crossbars","publication_year":2025,"publication_date":"2025-05-25","ids":{"openalex":"https://openalex.org/W4411725367","doi":"https://doi.org/10.1109/iscas56072.2025.11043716"},"language":"en","primary_location":{"id":"doi:10.1109/iscas56072.2025.11043716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004629816","display_name":"Abhiroop Bhattacharjee","orcid":"https://orcid.org/0000-0002-7721-271X"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abhiroop Bhattacharjee","raw_affiliation_strings":["Yale University,Department of Electrical Engineering,USA"],"affiliations":[{"raw_affiliation_string":"Yale University,Department of Electrical Engineering,USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013379643","display_name":"Jinquan Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinquan Shi","raw_affiliation_strings":["Yale University,Department of Electrical Engineering,USA"],"affiliations":[{"raw_affiliation_string":"Yale University,Department of Electrical Engineering,USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081562363","display_name":"Wei-Chen Chen","orcid":"https://orcid.org/0000-0002-3711-818X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei-Chen Chen","raw_affiliation_strings":["Stanford University,Department of Electrical Engineering,USA"],"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Electrical Engineering,USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406838","display_name":"Xinxin Wang","orcid":"https://orcid.org/0000-0002-5116-2718"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinxin Wang","raw_affiliation_strings":["Stanford University,Department of Electrical Engineering,USA"],"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Electrical Engineering,USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050310538","display_name":"Priyadarshini Panda","orcid":"https://orcid.org/0000-0002-4167-6782"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Priyadarshini Panda","raw_affiliation_strings":["Yale University,Department of Electrical Engineering,USA"],"affiliations":[{"raw_affiliation_string":"Yale University,Department of Electrical Engineering,USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004629816"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16478714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10472","display_name":"Semiconductor materials and devices","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.7745165824890137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7060431838035583},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6548362970352173},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6045886278152466},{"id":"https://openalex.org/keywords/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.6045019626617432},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5324692726135254},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.43713000416755676},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.27235329151153564},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.24512594938278198},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.24253466725349426},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15403905510902405},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.09479889273643494},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.08249253034591675}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.7745165824890137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7060431838035583},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6548362970352173},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6045886278152466},{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.6045019626617432},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5324692726135254},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.43713000416755676},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.27235329151153564},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.24512594938278198},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.24253466725349426},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15403905510902405},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.09479889273643494},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.08249253034591675},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas56072.2025.11043716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8399999737739563}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2056507634","https://openalex.org/W2057907879","https://openalex.org/W2159951683","https://openalex.org/W2591675147","https://openalex.org/W2606722458","https://openalex.org/W2621826044","https://openalex.org/W2769433089","https://openalex.org/W2966199719","https://openalex.org/W2969580338","https://openalex.org/W2969812992","https://openalex.org/W2997055188","https://openalex.org/W3006566323","https://openalex.org/W3112740243","https://openalex.org/W3161179337","https://openalex.org/W3198405160","https://openalex.org/W4205270231","https://openalex.org/W4221160099","https://openalex.org/W4223507763","https://openalex.org/W4223904523","https://openalex.org/W4280635485","https://openalex.org/W4283332956","https://openalex.org/W4292121737","https://openalex.org/W4312348535","https://openalex.org/W4367042977","https://openalex.org/W4376456783","https://openalex.org/W4384284133","https://openalex.org/W4385966619","https://openalex.org/W4386750938","https://openalex.org/W4390774313","https://openalex.org/W4402730257"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2566526749","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W4312415459","https://openalex.org/W2528680939"],"abstract_inverted_index":{"This":[0],"work":[1],"introduces":[2],"a":[3,73,122],"spike-based":[4],"wearable":[5],"analytics":[6],"system":[7],"utilizing":[8],"Spiking":[9],"Neural":[10],"Networks":[11],"(SNNs)":[12],"deployed":[13],"on":[14,20,84,137],"an":[15],"In-memory":[16],"Computing":[17],"engine":[18,104],"based":[19],"RRAM":[21,41,85],"crossbars,":[22,42,86],"which":[23],"are":[24],"known":[25],"for":[26,79],"their":[27],"compactness":[28],"and":[29,35,121],"energy-efficiency.":[30],"Given":[31],"the":[32,39],"hardware":[33,102],"constraints":[34],"noise":[36],"characteristics":[37],"of":[38,47,82],"underlying":[40],"we":[43,107],"propose":[44],"online":[45,80],"adaptation":[46,81],"pre-trained":[48],"SNNs":[49,83],"in":[50,125],"real-time":[51],"using":[52,94,99],"Direct":[53,61],"Feedback":[54,62],"Alignment":[55,63],"(DFA)":[56,64],"against":[57,91],"traditional":[58],"backpropagation":[59],"(BP).":[60],"learning,":[65],"that":[66,109],"allows":[67],"layer-parallel":[68],"gradient":[69],"computations,":[70],"acts":[71],"as":[72],"fast,":[74],"energy":[75,115],"&":[76],"area-efficient":[77],"method":[78],"unleashing":[87],"better":[88],"algorithmic":[89],"performance":[90],"those":[92],"adapted":[93],"BP.":[95],"Through":[96],"extensive":[97],"simulations":[98],"our":[100],"in-house":[101],"evaluation":[103],"called":[105],"DFA_Sim,":[106],"find":[108],"DFA":[110],"achieves":[111],"upto":[112,132],"64.1%":[113],"lower":[114,118],"consumption,":[116],"10.1%":[117],"area":[119],"overhead,":[120],"2.1\u00d7":[123],"reduction":[124],"latency":[126],"compared":[127],"to":[128],"BP,":[129],"while":[130],"delivering":[131],"7.55%":[133],"higher":[134],"inference":[135],"accuracy":[136],"human":[138],"activity":[139],"recognition":[140],"(HAR)":[141],"tasks.":[142]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
